{
  "name": "fineschema-deterministic-gate-local-benchmark",
  "site": "https://fineschema.vercel.app",
  "measured": "2026-06-12",
  "engine_build": "480cf18e",
  "source_script": "fineschema-v1/scripts/audit_and_latency_demo.py",
  "command": ".venv/bin/python scripts/audit_and_latency_demo.py",
  "hardware": { "machine": "Apple M4 Pro", "cores": 14, "ram_gb": 48, "os": "macOS" },
  "runtime": { "python": "3.9.6", "gpu": false, "model_weights": false, "cpu_only": true },
  "workload": {
    "timed_calls": 1000,
    "warmup_calls": 20,
    "policy_rules_loaded": 175,
    "rule_load_pass_rate": "175/175",
    "action_families": { "financial": 55, "healthcare": 40, "insurance": 40, "hr": 40 }
  },
  "latency_ms": { "mean": 0.191, "p50": 0.186, "p95": 0.214, "p99": 0.281,
    "method": "time.perf_counter() around verify_action(); samples sorted; percentiles from order statistics" },
  "throughput_per_sec_single_core": 5241,
  "throughput_method": "1000 / mean latency, single core, no batching",
  "replay_determinism": { "replays": 1000, "identical": 1000,
    "method": "replay(trace_id) must return identical verdict + identical meaning assignments" },
  "caveat": "Local single-machine figures for the deterministic gate itself, not an end-to-end SLA. Network, cartridge size, and host load will move them. A reproducible public case-set with broader hardware coverage is in progress."
}